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The specification of the propensity score in multilevel observational studies

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  1. Cavalletti, Barbara & Corsi, Matteo & Persico, Luca & di Bella, Enrico, 2021. "Public university orientation for high-school students. A quasi-experimental assessment of the efficiency gains from nudging better career choices," Socio-Economic Planning Sciences, Elsevier, vol. 73(C).
  2. Youjin Lee & Trang Q. Nguyen & Elizabeth A. Stuart, 2021. "Partially pooled propensity score models for average treatment effect estimation with multilevel data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(4), pages 1578-1598, October.
  3. Ndhlovu, Obrian & Muchapondwa, Edwin, 2021. "The Impact of Farmer Input Support Programme Reform on Crop Diversification and Rotation in Zambia," EfD Discussion Paper 21-10, Environment for Development, University of Gothenburg.
  4. Ragni, Alessandra & Ippolito, Daniel & Masci, Chiara, 2024. "Assessing the impact of hybrid teaching on students’ academic performance via multilevel propensity score-based techniques," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
  5. Zachary K. Collier & Walter L. Leite & Allison Karpyn, 2021. "Neural Networks to Estimate Generalized Propensity Scores for Continuous Treatment Doses," Evaluation Review, , vol. 45(1-2), pages 3-33, February.
  6. Matteo Lippi Bruni & Cristina Ugolini & Rossella Verzulli & Anna Caterina Leucci, 2023. "The impact of Community Health Centers on inappropriate use of emergency services," Health Economics, John Wiley & Sons, Ltd., vol. 32(2), pages 375-394, February.
  7. Miquel-Àngel Garcia-López & Albert Solé-Ollé & Elisabet Viladecans-Marsal, 2014. "Do land use policies follow road construction?," Working Papers 2014/2, Institut d'Economia de Barcelona (IEB).
  8. K. C. Culver & Nathaniel Bray & John Braxton, 2024. "On My Honor: A Quasi-Experimental Analysis of Honors Students’ Perceptions of Workload and Cognitive Challenge," Research in Higher Education, Springer;Association for Institutional Research, vol. 65(4), pages 679-704, June.
  9. Miquel-Àngel Garcia-López & Albert Solé-Ollé & Elisabet Viladecans Marsal, 2014. "Do Land Use Policies Follow Road Construction," CESifo Working Paper Series 4672, CESifo Group Munich.
  10. Priulla, Andrea & Vittorietti, Martina & Attanasio, Massimo, 2023. "Does taking additional Maths classes in high school affect academic outcomes?," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
  11. K. C. Culver & Nicholas A. Bowman, 2020. "Is What Glitters Really Gold? A Quasi-Experimental Study of First-Year Seminars and College Student Success," Research in Higher Education, Springer;Association for Institutional Research, vol. 61(2), pages 167-196, March.
  12. Ranjbar, Setareh & Salvati, Nicola & Pacini, Barbara, 2023. "Estimating heterogeneous causal effects in observational studies using small area predictors," Computational Statistics & Data Analysis, Elsevier, vol. 184(C).
  13. Youmi Suk, 2024. "A Within-Group Approach to Ensemble Machine Learning Methods for Causal Inference in Multilevel Studies," Journal of Educational and Behavioral Statistics, , vol. 49(1), pages 61-91, February.
  14. Akoh Fabien Yao & Maxime Sèbe & Laura Recuero Virto & Abdelhak Nassiri & Hervé Dumez, 2024. "The effect of LNG bunkering on port competitiveness using multilevel data analysis [L'effet du soutage par GNL sur la compétitivité des ports à l'aide de l'analyse de données à plusieurs niveaux]," Post-Print hal-04611804, HAL.
  15. Vivian Yuen Ting Liu & Alexandra Haralampoudis & Isabel Polon, 2024. "Combating Summer Melt: The Impact of Near-Peer Mentor Matriculation Program in New York City," Research in Higher Education, Springer;Association for Institutional Research, vol. 65(5), pages 794-826, August.
  16. Rubin, Amir & Rubin, Eran & Segal, Dan, 2023. "Editor home bias?," Research Policy, Elsevier, vol. 52(6).
  17. Kim, Gi-Soo & Paik, Myunghee Cho & Kim, Hongsoo, 2017. "Causal inference with observational data under cluster-specific non-ignorable assignment mechanism," Computational Statistics & Data Analysis, Elsevier, vol. 113(C), pages 88-99.
  18. Qi Zhou & Catherine McNeal & Laurel A. Copeland & Justin P. Zachariah & Joon Jin Song, 2020. "Bayesian propensity score analysis for clustered observational data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(2), pages 335-355, June.
  19. Mary Ying-Fang Wang & Paul Tuss & Lihong Qi, 2019. "Augmented Weighted Estimators Dealing with Practical Positivity Violation to Causal inferences in a Random Coefficient Model," Psychometrika, Springer;The Psychometric Society, vol. 84(2), pages 447-467, June.
  20. Steven Elías Alvarado & Paul Muniz, 2018. "Racial and Ethnic Heterogeneity in the Effect of MESA on AP STEM Coursework and College STEM Major Aspirations," Research in Higher Education, Springer;Association for Institutional Research, vol. 59(7), pages 933-957, November.
  21. Youmi Suk & Hyunseung Kang, 2022. "Robust Machine Learning for Treatment Effects in Multilevel Observational Studies Under Cluster-level Unmeasured Confounding," Psychometrika, Springer;The Psychometric Society, vol. 87(1), pages 310-343, March.
  22. Mohamed Amara & Wajih Khallouli & Faycel Zidi, 2018. "Gender Discrimination in the Tunisian Labor Market: The Youth Crisis," Working Papers 1263, Economic Research Forum, revised 07 Feb 2018.
  23. Walter L. Leite & Burak Aydin & Dee D. Cetin-Berber, 2021. "Imputation of Missing Covariate Data Prior to Propensity Score Analysis: A Tutorial and Evaluation of the Robustness of Practical Approaches," Evaluation Review, , vol. 45(1-2), pages 34-69, February.
  24. Aleksey Oshchepkov & Anna Shirokanova, 2020. "Multilevel Modeling For Economists: Why, When And How," HSE Working papers WP BRP 233/EC/2020, National Research University Higher School of Economics.
  25. Jordan H. Rickles & Michael Seltzer, 2014. "A Two-Stage Propensity Score Matching Strategy for Treatment Effect Estimation in a Multisite Observational Study," Journal of Educational and Behavioral Statistics, , vol. 39(6), pages 612-636, December.
  26. Wukki Kim & Todd Sandler & Hirofumi Shimizu, 2020. "A Multi‐Transition Approach to Evaluating Peacekeeping Effectiveness," Kyklos, Wiley Blackwell, vol. 73(4), pages 543-567, November.
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